Held to a Higher Standard? Fairness Perceptions of Artificial Intelligence in HR Decision Making
Abstract
Implementation of decision-making tools based on artificial intelligence (AI) has introduced a new set of concerns related to fairness in organizations. It is clear that human decision makers demonstrate biases and make errors in decisions related to hiring, compensation, discipline, and other human resource (HR) topics. Regardless, applicants and employees are expressing high levels of concern about the fair and appropriate use of AI in HR decision making. This chapter reviews research and theoretical perspectives about fairness in HR, including organizational justice and social exchange. We then compare these perspectives with research from the AI and information systems literatures to examine different viewpoints on fairness and why the fairness of decisions made by humans and AI systems might be judged differently. We highlight a potential paradox in thinking about automation and intentionality of AI decision tools, and discuss the potential impact on the use of these systems within HR.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2022
- Accession Number
- AD1176131
Entities
People
- Garett N. Howardson
- Sandra L. Fisher
Organizations
- U.S. Army Research Institute for the Behavioral and Social Sciences